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Pull the most-liked comments for a community post

For creators and community managers writing a round-up. Every comment comes back with its like count and author handle, so sorting gives you the lines the audience actually endorsed — the ones worth quoting in a pinned post, a follow-up video, or a reply that answers the question forty people had.

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YouTube Comments Scraper 💬 Bulk, No API Key
YouTube Comments Scraper 💬 Bulk, No API Keycleanfeed/youtube-comments-downloader
Success
Video ID
Video title
Author handle
+5 fields
Text
Number
Boolean
List
Object

Input

Video URLs or IDs(required):https://www.youtube.com/watch?v=jNQXAC9IVRw
Max comments per video:400

Output fields

Success
Video ID
Video title
Author handle
Comment text
Likes
Replies
Published (relative)
Error code

How it works

Sign up on Apify or log in

The YouTube Comments Scraper 💬 Bulk, No API Key Actor is ready to run with the inputs already set for "Pull the most-liked comments for a community post". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Pull the most-liked comments for a community post" task

The YouTube Comments Scraper 💬 Bulk, No API Key Actor will start running based on the input automatically. You can also change all the input fields, like video urls or ids and max comments per video, to match your specific use case.

Receive the "Pull the most-liked comments for a community post" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as success, video id, video title, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Pull the most-liked comments for a community post" task via API.

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